From enrollment to Springer acceptance with oral presentation in 2 months
Ashwajit developed the Replay-Gated Cascade Consolidation model, a 1,000-neuron Izhikevich spiking network with spike-timing-dependent plasticity and Fusi-type slow cascade weights. He stated three predictions in advance and confirmed all three across more than 700 simulation runs, scaling up to 5,000 neurons. Removing replay dropped retention from 0.286 to 0.037, and the harmonic-series prediction fit with an R squared of 0.828.
Computational Neuroscience
Springer publication with oral presentation at BICA 2026
Springer Lecture Notes in Electrical Engineering, BICA 2026, 2026
Ashwajit Warwatkar, YRI Fellow
Early-stage research experience with independent projects in biomedical AI and wetware computing, but no peer-reviewed publications.
First-author Springer publication on computational neuroscience, accepted for oral presentation at an international conference in 2 months.
Accepted for oral presentation at BICA 2026, the highest presentation tier at the conference
Published in Springer Lecture Notes in Electrical Engineering, Scopus and EI Compendex indexed
Confirmed 3 of 3 pre-stated predictions across more than 700 simulation runs
Reviewers scored the work 5 out of 5 for novelty and significance
Two months from YRI enrollment to Springer acceptance, at 17 years old
Nidhi Kulkarni, First-author IEEE publication